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尼泊尔中部山区Melamchi流域农户类型及其土地利用方式 被引量:7
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作者 苏艺 邓伟 +1 位作者 张继飞 hriday lal koirala 《农业工程学报》 EI CAS CSCD 北大核心 2016年第9期204-211,共8页
农户生计策略变化为土地利用变化提供了新的研究视角。基于问卷调查、半结构访谈、数理统计等方法,对尼泊尔中部山区Melamchi流域4个典型村进行了系统调查,分析了不同类型农户的生计策略及土地利用特征。结果表明:农为主和非农为主型农... 农户生计策略变化为土地利用变化提供了新的研究视角。基于问卷调查、半结构访谈、数理统计等方法,对尼泊尔中部山区Melamchi流域4个典型村进行了系统调查,分析了不同类型农户的生计策略及土地利用特征。结果表明:农为主和非农为主型农户生计策略组合较优,生计多样性指数相对较高,生计风险相对较小。不同类型农户在耕作面积、土地利用结构、劳动力投入、土地增产性投入等方面均表现出不同特征。不同类型农户对改善生计的认识及策略不同,其对土地的作用及影响也有所差异。非农生计活动不仅降低了生计脆弱性和生计风险,同时也降低了农户对土地的依赖程度和垦殖率,促进了土地所有权改变和土地再分配,提高了农业生产率,但也增加了土地质量退化和环境污染的风险。针对尼泊尔山区资源环境特点及影响农户生计改善的不利因素,从农户和区域层次分别提出农户生计优化及土地可持续利用的建议。 展开更多
关键词 土地利用 农村地区 优化 农户类型 山区 尼泊尔
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尼泊尔中部山区麦拉姆齐流域农户生计资本与生计策略关系研究 被引量:7
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作者 苏艺 邓伟 +2 位作者 张继飞 hriday lal koirala Paudel Khatiwada Shanta 《山地学报》 CSCD 北大核心 2016年第5期645-653,共9页
生计资本与生计策略关系的研究是理解和发展农村可持续生计最重要的途径。本文以尼泊尔中部山区麦拉姆齐流域为例,采用PRA法进行实地调研,定量分析了该流域农户的生计资本状况,生计资本对生计策略的影响及不同生计策略对生计资本因子的... 生计资本与生计策略关系的研究是理解和发展农村可持续生计最重要的途径。本文以尼泊尔中部山区麦拉姆齐流域为例,采用PRA法进行实地调研,定量分析了该流域农户的生计资本状况,生计资本对生计策略的影响及不同生计策略对生计资本因子的敏感性特征。研究表明:(1)农户生计资本指数低,各类资本差异明显,且资本的转化能力弱。物质资本得分最高,其次为人力资本、社会资本、金融资本,自然资本最低。(2)以非农为主型生计策略农户的资本总指数最高,生计策略也相对最优;非农型资本总指数次之,但生计风险相对较高;农为主型资本总指数低于前二者,但生计脆弱性相对较低;纯农型资本总指数最低,生计策略组合单一,生计风险相对最高。(3)生计资本及其组合差异是影响农户生计策略选择的重要原因,改善生计资本的配置能够推动农户生计策略的调整和优化。不同生计策略对资本因子的敏感性亦有所差异,提高人力资本和金融资本的投入,对于尼泊尔山区农户积极参与和发展非农生计活动,合理调整和优化生计策略,减小生计风险具有重要意义。 展开更多
关键词 生计资本 生计策略 敏感性 山区 尼泊尔
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Morphometric Analysis of Gilgit River Basin in Mountainous Region of Gilgit-Baltistan Province, Northern Pakistan
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作者 Karamat Ali Roshan M. Bajracharya +2 位作者 Bishal Kumar Sitaula Nani Raut hriday lal koirala 《Journal of Geoscience and Environment Protection》 2017年第7期70-88,共19页
Watershed morphometric analysis of a basin is key to understand the hydrological processes. The Gilgit river basin is situated in the Hindu Kush and Karakoram Mountains of Pakistan. The provincial capital of Gilgit-Ba... Watershed morphometric analysis of a basin is key to understand the hydrological processes. The Gilgit river basin is situated in the Hindu Kush and Karakoram Mountains of Pakistan. The provincial capital of Gilgit-Baltistan is located in the lower part of the basin. Morphometric evaluation of the Gilgit river basin was carried out to study its drainage characteristics and overall water resource potential. The entire Gilgit river basin has been divided into six sub-basins to calculate and analyze the selected morphometric parameters. Morphometric parameters have been classified into linear, aerial and relief aspect. Geographic Information System (GIS) provides a viable method to extract and evaluate the characteristic of hydrological response behaviour of the basin. In the present study the utilization of remote sensing data such as Thermal Topography Mission and Global Elevation Model (ASTER-GDEM), Sentinel 2A image, coupled with geological and field data into GIS environment for morphometric analysis of Gilgit Basin. The drainage area of the basin is 13,538 km2 and shows a dendritic drainage pattern for all sub-basins. The analysis reveals that drainage network of entire Gilgit river basin constitutes a 7th order basin. Out of six sub-basins, Gilgit-Gahkuch (B1), Ishkoman (B2) and Phunder (B4) are 6th order sub-basins. Yasin (B3) and Gupis (B5) are 5th order sub-basins, while Bagrot (B6) is a 4th order sub-basin. The Gilgit Basin drainage density value is 0.50 km/km2, which indicates a well-drained basin. Morphometric parameters like stream number, order, length, bifurcation ratio, drainage density, stream frequency, elongation ratio, circularity ratio, form factor, relief and relative relief, slope, length of overland flow, ruggedness number, and hypsometric integral are calculated. The results indicate that the entire drainage basin area reflects youthful to early mature stage of the fluvial geomorphic cycle and high potential of stream discharge which is dominated by high relief, rainfall, glacier and snow fed order streams. 展开更多
关键词 Drainage MORPHOMETRY Gilgit BASIN REMOTE Sensing
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A geo-spatial database about the eco-environment and its key issues in South Asia
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作者 Ainong Li Wei Deng +10 位作者 Wei Zhao Bintao Liu Jianqiang Zhang Bo Kong Xi Nan Jinhu Bian hriday lal koirala Hammad Gilani Vishwambhar Prasad Sati Pattiyage I.A.Gomes Narendra Raj Khanal 《Big Earth Data》 EI 2018年第3期298-319,共22页
The South Asia has high variability in geographical features,climate,andlandscapes.With the rapid economic development and population growth,the increased pressure on natural resources,land degradation,water crisis,an... The South Asia has high variability in geographical features,climate,andlandscapes.With the rapid economic development and population growth,the increased pressure on natural resources,land degradation,water crisis,and climate change become the common concerns forthe countries in the region.To get a deep and general idea about the land and water natural resources and environment in South Asia,a knowl-edge database was constructed based on the climatic condition,land use/cover,waterresources,water disasters,and geohazards.There sults presented a scientific insight regarding the spatio-temporal changing pattern of the eco-environ mental components in this region.Risk assessments were performed for the floods,droughts,and geohazards which occurred with a high frequency.In general,the big knowledge database established in this study would be helpful to aid the devel-opment of future policies and programs(like the Belt and Road Initiative)for environmental issues adaptation in the region,including initiatives for regional cooperation and capacity building in natural resources and environment management. 展开更多
关键词 South Asia ECO-ENVIRONMENT water resource GEOHAZARD climate change ASSESSMENT
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